Giter Site home page Giter Site logo

mlthesis's Introduction

Hot Topic

Use python satellite imagery, historical weather data, and historical fire perimeters to predict wildfire spreading using artificial neural network.

Requirements

the following python3 libraries should be installed

  • numpy
  • opencv
  • keras (with Tensorflow backend)
  • scipy
  • matplotlib (optional, for visualization)

Data sources

  • Historical weather data: NOAA READY Archive for the HRRR (High Resolution Rapid Refresh) weather model. 3km, 1 hr resolution
  • Historical fire perimeters: GeoMAC Database, a conglomeration of daily fire perimeters from many different land management agencies. Perimeters are typically organized into burns, so you can follow the progress of a fire as it grows day to day.
  • Historical satellite imagery:
    • landsat
    • ndvi
    • dem (digital elevation model)

mlthesis's People

Contributors

nickcrews avatar dtradke avatar annahessler avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.